DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data

BACKGROUND: Modeling dynamic regulatory networks is a major challenge since much of the protein-DNA interaction data available is static. The Dynamic Regulatory Events Miner (DREM) uses a Hidden Markov Model-based approach to integrate this static interaction data with time series gene expression le...

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Detalles Bibliográficos
Autores principales: Schulz, Marcel H, Devanny, William E, Gitter, Anthony, Zhong, Shan, Ernst, Jason, Bar-Joseph, Ziv
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3464930/
https://www.ncbi.nlm.nih.gov/pubmed/22897824
http://dx.doi.org/10.1186/1752-0509-6-104

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3464930/
https://www.ncbi.nlm.nih.gov/pubmed/22897824
http://dx.doi.org/10.1186/1752-0509-6-104

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